Description

Define and design enterprise architecture across cloud, data, and AI layers to deliver scalable, secure solutions aligned with business goals.

This role is remote.

Responsibilities

• Lead cloud strategy and implementation across AWS, Azure, or Google Cloud, designing cloud-native applications and microservices.
• Architect and implement AI/ML solutions, including Generative AI, predictive models, and MLOps pipelines for deployment and monitoring.
• Design data lakes, warehouses, and real-time data pipelines, establishing standards for integration, transformation, and governance.
• Ensure solutions comply with enterprise security, privacy, and regulatory standards while optimizing for cost and performance.
• Collaborate with stakeholders and engineering teams to drive architectural governance and support solution proposals.

Required Skills

• 5+ years of experience in solution design and enterprise architecture.
• Proficiency with cloud platforms: AWS, Azure, or GCP.
• Strong expertise in data technologies including SQL/NoSQL, Snowflake, Databricks, Spark, and Kafka.
• Experience with CI/CD pipelines, model deployment, and monitoring tools for MLOps.
• Programming skills in Python and Java.
• Knowledge of microservices, APIs, and distributed systems.
• Ability to translate business needs into technical architectures.

Preferred Skills

• Experience with Generative AI and Large Language Models (LLMs).
• Background in data modeling, governance, and security policies.

Key Skills

Education

Any Gradute